Data Source: oci_budget_cost_anomaly_event_analytics

This data source provides the list of Cost Anomaly Event Analytics in Oracle Cloud Infrastructure Budget service.

Gets a list of Cost Anomaly Events analytics summary - aggregated metrics for a given time period.

Example Usage

data "oci_budget_cost_anomaly_event_analytics" "test_cost_anomaly_event_analytics" {
	#Required
	compartment_id = var.compartment_id

	#Optional
	cost_anomaly_monitor_id = oci_budget_cost_anomaly_monitor.test_cost_anomaly_monitor.id
	cost_impact = var.cost_anomaly_event_analytic_cost_impact
	cost_impact_percentage = var.cost_anomaly_event_analytic_cost_impact_percentage
	name = var.cost_anomaly_event_analytic_name
	region = var.cost_anomaly_event_analytic_region
	target_tenant_id = oci_budget_target_tenant.test_target_tenant.id
	time_anomaly_event_end_date = var.cost_anomaly_event_analytic_time_anomaly_event_end_date
	time_anomaly_event_start_date = var.cost_anomaly_event_analytic_time_anomaly_event_start_date
}

Argument Reference

The following arguments are supported:

• compartment_id - (Required) The ID of the compartment in which to list resources.
• cost_anomaly_monitor_id - (Optional) The cost monitor ocid.
• cost_impact - (Optional) cost impact (absolute) of the anomaly event.
• cost_impact_percentage - (Optional) cost impact (percentage) of the anomaly event.
• name - (Optional) Unique, non-changeable resource name.
• region - (Optional) region of the anomaly event.
• target_tenant_id - (Optional) The target tenantId ocid filter param.
• time_anomaly_event_end_date - (Optional) endDate for anomaly event date.
• time_anomaly_event_start_date - (Optional) startDate for anomaly event date.

Attributes Reference

The following attributes are exported:

• cost_anomaly_event_analytic_collection - The list of cost_anomaly_event_analytic_collection.

CostAnomalyEventAnalytic Reference

The following attributes are exported:

• items - The list of CostAnomalyEvent Analytic summary.
  • average_cost_impact - The average cost impact of the anomaly events in the given time period.
  • average_cost_variance - The average cost variance of the anomaly events in the given time period.
  • cost_anomaly_event_analytic_count - The number of cost anomaly events in the given time period.